The convergence of AI, IoT, and EAM for proactive maintenance management

Artificial Intelligence (AI) enables machines to "think,” rationalize, learn, and problem solve like humans. Enterprises of all sizes are beginning to leverage AI to generate value with data-driven, automated machine learning processes that can empower predictive maintenance programs with the Internet of Things (IoT).

View the webinar recording instantly to learn about machine learning, an AI technique where algorithms are given data and asked to process it without predetermined rules. We introduce the concept of Citizen Machine Learning and how it goes even further, allowing anyone to become a data scientist to bring real-world value through automation of asset maintenance programs.

Speakers

Rick Rider

Sr. Director, Product Management

Rick has been with Infor for more than six years and leads product management across Infor OS. His technology categories of expertise include integration, enterprise user experience, document and data management, and artificial intelligence. Projects in the AI space include natural language processing, smart search, image recognition, robotic process automation, and machine learning.

Kevin Price

Technical Product Evangelist & Strategist

Kevin has been in the Enterprise Asset Management software industry most of his professional career in product management and product strategy capacities. As a Technical Product Evangelist, Kevin is globally responsible for product strategy functions for the Infor EAM, Infor MP2, iProcure, and Energy Performance Management product families at Infor.